Abstract
Temperature changes can be severe during mountain-trekking based on the sun location and trail path. The task of keeping the body warm and comfortable to avoid hypothermia can be mitigated by a wearable device which records real-time data and analyzes it. In this paper, we propose a wearable device for body temperature regulation called warmUp which has minimal social weight. This device can predict, trained on the previously collected users’ data, whether or not it is cold for that person. The wearable device is compact and can be hidden inside a vest. A simple binary classifier indicated that the user is getting cold by using present temporal temperature variations. We train the neural network by first collecting the data using the input sensors hidden inside the vest and asking the user to classify the data. Future applications of our device are: automatically warming the vest which the user is wearing; fire fighting applications, and wilderness survival.
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Lehikoinen, J., Suomela, R.: Perspective maps. In: Sixth International Symposium on Wearable Computing, Seattlle, WA, October 2002, pp. 171–178 (2002)
Bern, N., Schiele, B., Junker, H., Lukowicz, P., Troster, G.: Wearable sensing to annotate meeting recordings, International Symposium on Wearable Computing, Seattlle, WA, October 2002, pp. 186–193 (2002)
Bristow, H.W., Baker, C., Cross, J., Woolley, S.: Evaluating contextual information for wearable computing, Sixth International Symposium on Wearable Computing, Seattlle, WA, October 2002, pp. 179–185 (2002)
Toney, A., Mulley, B., Thomas, B.H., Piekarski, W.: Minimal social weight user interactions for wearable computers in business suits. In: ISWC 2002 Proceedings, pp. 57–64 (2002)
Park, S., Locher, I., Savvides, A., Srivastave, M.B., Chen, A., Muntz, R., Yuen, S.: Design of wearable sensor badge for smart kindergarten, In: IEEE ISWC 2002 Proceedings, pp. 231–238 (2002)
Barry, B.: Story Beads: a wearable for distributed and mobile computing. MS thesis, MIT Media Labs (2000)
Brian, W., Jhonson, K., Metzgar, T., Semwal, S.K., Snyder, B., Yu, K., Neafus, D.: Crossover applications. In: IEEE VR Research Demo 2009, Lousiana, USA (2009)
Zeng, M., Gao, H., Yu, T., Mengshoel, O.J.: Understanding and improving recurrent networks for human activity recognition by continuous attention. In: ACM International Symposium on Wearable Computers, pp. 56–63, Singapore (2018)
Ozbek, S., Molla, M.T.I., Crompton, C., Holschuh, B.: Novel manufacturing of advanced smart garments: knitting with spatially-varying multi-material mono-filament. In: ACM International Symposium on Wearable Computers, pp. 120–129, Singapore (2018)
Bernal, G., Yang, T., Jain, A., Maes, P.: PhysioHMD: a comfortable modular toolkit for collecting physiological data from head mounted displays. In: ACM International Symposium on Wearable Computers, pp. 160–167, Singapore (2018)
Smith, M.J., Warren, K., David, C.-T., Shames, S., Sprehn, K.A., Schwartz, J.L., Zhang, H., Arens, E.A.: Augmenting smart buildings and autonomous vehicles with wearable thermal technology. In: HCI (2017)
Kodama, R., Terada, T., Tuskamoto, M.: A context recognition method using temperature sensors in the Nostrils. In: ACM International Symposium on Wearable Computers, pp. 220–221, Singapore (2018)
Serrano, J.B.: warmUp: an intelligent wearable computer for automatic body temperature regulation, wearable computing and complex systems (CS5790) Instructor. SK Semwal, University of Colorado at Colorado Springs, pp. 1–8 (2019)
Getting started with the Sense HAT. https://projects.raspberrypi.org/en/projects/getting-started-with-the-sense-hat. Accessed 05 Nov 2019
Building Neural Network using Keras for Classification. https://medium.com/datadriveninvestor/building-neural-network-using-keras-for-classification-3a3656c726c1. Accessed 05 Nov 2019
Binary Classification Tutorial with the Keras Deep Learning Library. https://machinelearningmastery.com/binary-classification-tutorial-with-the-keras-deep-learning-library/. Accessed 05 Nov 2019
How to create a Telegram bot, and send messages with Python. https://medium.com/@ManHay_Hong/how-to-create-a-telegram-bot-and-send-messages-with-python-4cf314d9fa3e/. Accessed 05 Nov 2019
Display two digits numbers on the Raspberry PI Sense HAT. http://yaab-arduino.blogspot.com/2016/08/display-two-digits-numbers-on-raspberry.html. Accessed 05 Nov 2019
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Serrano, J.B., Semwal, S.K. (2020). A Minimal Social Weight Wearable Device for Thermal Regulation. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-39445-5_35
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DOI: https://doi.org/10.1007/978-3-030-39445-5_35
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